TopBraid EDG–Metadata Management (EDG–MM)

Achieve operational efficiency, regulatory compliance and analytical insights

Understand the lineage of your enterprise business data and its metadata

TopBraid EDG–Metadata Management (TopBraid EDG–MM) lets organizations govern information about their data assets, software applications, infrastructure, business capabilities and processes.

TopBraid EDG–MM is key to managing enterprise data as assets and to understanding the lineage of the data and its metadata.

LEARN ABOUT METADATA MANAGEMENT

Why TopBraid EDG–MM?

The data landscape is changing faster than before. Today, organizations create value by using all possible types of data available: big data, legacy data, external data, internal data, data of data and more.
Increasing diversity also creates an increasing challenge of managing different types of data from various sources. It has become harder than ever to get a holistic view of the data ecosystem and also to get a detailed understanding of the data lineage, data use and impact.

LEARN MORE ABOUT SEMANTIC DATA GOVERNANCE

How Can TopBraid EDG–MM Help?

Enterprises need to manage their data while understanding the lineage of the data and its metadata. TopBraid EDG–MM lets its users create, connect and use an enterprise knowledge graph consisting of:

Data, Technical and Enterprise Asset Collections – catalogs of resources that make up a data ecosystem. These include:
- data asset collections or data dictionaries cataloging databases
- data elements and datasets
- technical asset collections cataloging systems
- business applications and technical hardware
- enterprise asset collections cataloging business functions, activities, processes and information assets such as documents, forms and reports.
Business Glossaries – catalogs of terms that provide business context for data.

Lineage Models – assets in any collection can already be directly linked with each other to, for example, say that a business application stores data in some database. Lineage Models are used when there is a need for a more detailed specification of data transformations as it flows between data sources and applications to users, in support of business activities and functions.
Requirements – catalogs of relevant requirements such as data requirements, regulatory requirements and security requirements to support traceability to other EDG-managed assets

TopBraid EDG–MM delivers key benefits of data governance:

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Provides visibility for all important data, irrespective of source and format

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Enables traceability of data as it flows across different systems in support of business activities

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Makes the meaning of data explicit and well understood

Overcome Data Governance Challenges

TopBraid EDG–Metadata Management lets data stakeholders and subject matter experts collaborate in creating a shared understanding of the meaning of data. Its key features include:

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Intuitive Graphical User Interface – with auto-completion, drag and drop and rich text editing.

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Flexible Data Model – ability to define and use any number of custom attributes and relationships for data and other assets.

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Audit Trails – every change is logged and time stamped, change history can be searched, changes can be rolled back if desired.

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Workflows and Working Copies – pre-built and custom workflows with associated virtual work-in-progress copies to support data governance review and approval processes.

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Role Based Views – different users can have different views of assets as determined by their governance roles.

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Configurable Governance Roles – for business areas and data domains as well as individual assets.

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Reporting and Dashboards – Built-in reports and configurable role-based governance metrics. Advanced query-building tools and reporting through graphical interfaces. Visual dashboards to explore and drill down lineage, traceability and impact information.

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Search – simple lookups and advanced search, saved searches and search services.

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Data Quality Rules – built-in, out of the box rules and constraints. Custom validation rules necessary to enforce best practices and ensure high quality of your information.

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Profiling of Data Sources – automated cataloging of data sources.

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Automation of Linking – Maps between business, technical and operational metadata can be auto-generated.

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Import/Export – Data ingestion and export from/to from Spreadsheets, Databases, XML, SPARQL and GraphQL endpoints.

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Native Support for Semantic Standards – Built-in support for W3C standards such as RDF, SPARQL, SHACL and OWL. RESTful and GraphQL APIs.

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Enterprise-readiness – Easily extensible, highly scalable and robust architecture with high availability, single sign-on through LDAP/Active Directory integration, integration with enterprise systems through built-in connectors, web services and JMS.

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